Two-dimensional airfoil shape optimization for airfoils at low speeds
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents a fast methodology for the design of two-dimensional low-speed airfoils. We propose a methodology in which the design process starts from an already known airfoil or from a new defined airfoil by imposing some basic geometrical characteristics, such as: the airfoil’s radius at the leading edge, the maximum height of the airfoil’s lower and upper sides, the slopes of the airfoil’s defining curves at the trailing edge and the trailing edge gaps. Based on the above initial geometry the airfoil shape is further parameterized by use of Bezier or Bspline curves, the relative merit of the two types of parameterization is carefully analyzed and exemplified in the results section. The control points of the defining curves can be used to optimize the shape of the airfoil. The Xfoil flow solver was used for the aerodynamical calculations, and Matlab’s fmincon was used as the optimizer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it